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[Hiring] Data Analyst @NU National University ID-25532

Role Description

The Data Analyst on the Data & Insights team works cross-functionally with data engineers, data scientists, and business experts in an agile environment to help National University deliver a better student experience using data and analytics. The analyst collaborates on a variety of projects that include:

  • Building analytical models
  • Coding
  • Data visualizations
  • Storytelling to help identify opportunities for students, faculty, and staff

This role is particularly focused on supporting the Finance department and understanding higher education financial systems and regulations. The analyst conducts full lifecycle analysis to include:

  • Requirements gathering
  • Activities design
  • Reporting

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Essential Functions:

  • Use Structured Query Language (SQL) to gather and assess data across new and legacy data warehouses.
  • Engage with stakeholders, particularly within the Finance, Accounting, and Compliance departments, to translate data requests into technical requirements for reporting.
  • Collaborate with data engineers and data governance colleagues on the data production lifecycle.
  • Design and develop compliance-driven reports for federal, state, and internal finance reporting.
  • Adhere to style guides and templates in developing Excel files, Power BI paginated reports, and dashboards.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Manage stakeholder expectations and project manage design, development, and delivery of data solutions.
  • Filter and clean data by reviewing reports and performance indicators.
  • Work within scrum teams and the sprint process to prioritize business and information needs.
  • Locate and define new process improvement opportunities related to finance and reporting.
  • Develop and monitor key financial KPIs to support strategic decision-making.
  • Support forecasting and budgeting processes by reporting on budget variance, forecast accuracy, and cash flow projections.
  • Other duties as assigned.

Qualifications

  • Bachelor’s degree required; preferably in Data Science, Computer Science, Statistics, Finance, Accounting, or other quantitative fields.
  • Master’s degree preferred.
  • Minimum of two (2) years of experience in data analytics, with a strong understanding of finance, financial systems, reporting, and compliance.
  • Previous experience working in finance or accounting preferred.
  • Experience constructing custom datasets for analysis, particularly with financial data, preferred.
  • Experience with advanced data visualization platforms like Power BI preferred.
  • Experience in higher education preferred.
  • Experience working in a technology-driven enterprise is a plus.

Requirements

  • Strong understanding of financial KPIs including profitability, liquidity, efficiency, and forecasting metrics.
  • Ability to design and automate dashboards and reports that track key financial indicators and trends.
  • Skilled in interpreting and communicating complex financial data to non-technical stakeholders.
  • Knowledge of financial statements, financial compliance, accounting, budgeting, forecasting and other financial-related reports preferred.
  • Strong analytical skills with attention to detail and accuracy.
  • Demonstrated ability to use SQL to query and extract findings from large datasets.
  • Proficient in SQL query design, generation, and reporting.
  • Expert in Excel pivot tables and charts, especially in the context of financial data.
  • Ability to work closely with business owners to translate needs into technical data requirements and solutions.
  • Excellent written and verbal presentation skills.
  • Ability to thrive in a collaborative, team-oriented environment.
  • Self-organized and able to complete assignments on time in a fully remote environment.
  • Capable of performing in a professional and friendly manner despite conditions of deadlines and pressure.
  • Ability to work on multiple projects, both independently and as a team member.
  • Proficient in Microsoft 365 Office suite (Word, Excel, PowerPoint, Outlook).

Benefits

  • Comprehensive well-being benefits for you and your family.
  • Competitive pay and benefits packages.
  • Development and advancement opportunities.
  • Remote-first work perks.
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